Yes. When you share a Jupyter Notebook through AEN, it can be
viewed and run without the need to install anything special,
regardless of what libraries were used to create the notebook.
Each notebook also includes the python environment that it needs
to run in.

AEN allows users to clone a shared Jupyter Notebook into their
AEN account to make whatever changes or modifications they want.
The notebook’s Python environment is also cloned, so it runs in
the same environment as the shared Jupyter Notebook unless it is
changed.

Yes. If your data is in CSV files, upload the CSV files to your
AEN account using the upload controls in the File Browser of the
Workbench Application or the File Transfer Application.

To access data stored on Amazon S3, use the Boto interface from AEN.
See the public data files in AEN for examples
of how to use Boto to pull your data from Amazon S3 into AEN. For
more information, see Boto documentation.

You can also use IOPro to simplify and optimize the conversion of
your data into Python arrays.